ABSTRACT
BACKGROUND: Changes in overweight/obesity and anemia among women have been investigated in multiple studies, but the rate at which their coexistence at the individual level has evolved remains unknown. OBJECTIVES: We aimed to 1) document trends in the magnitude and inequalities of the co-occurrence of overweight/obesity and anemia; and 2) compare these with overall trends in overweight/obesity, anemia, and the co-occurrence of anemia with normal weight or underweight. METHODS: For this cross-sectional series study, we used 96 Demographic and Health Surveys from 33 countries with available anthropometric and anemia data among nonpregnant adult women (20-49 y old; n = 1,648,308). The primary outcome was defined as the coexistence of overweight or obesity (BMI ≥25kg/m2) and anemia (hemoglobin concentrations <12.0 g/dL) within the same individual. We computed overall and regional trends through multilevel linear regression models and by sociodemographic characteristics (i.e., wealth, education, and residence). Estimates at the country level were calculated through ordinary least square regression models. RESULTS: From 2000 to 2019, the co-occurrence of overweight/obesity and anemia increased modestly at an annual rate of 0.18 percentage points (95% CI: 0.08, 0.28 percentage points; P < 0.001), ranging from 0.73 percentage points in Jordan to -0.56 percentage points in Peru. This trend occurred in parallel with overall increases in overweight/obesity and reductions in anemia. The co-occurrence of anemia with normal weight or underweight was reducing in all countries, except Burundi, Sierra Leone, Jordan, Bolivia, and Timor-Leste. Stratified analyses yielded an upward trend in the co-occurrence of overweight/obesity and anemia across all subgroups but particularly in women from the 3 middle wealth groups, no education, and capital city or rural residents. CONCLUSIONS: The rising trend in the intraindividual double burden suggests that efforts to reduce anemia among women living with overweight/obesity may need to be revisited to accelerate progress toward the 2025 global nutrition target of halving anemia.
Subject(s)
Anemia , Malnutrition , Adult , Humans , Female , Overweight/epidemiology , Overweight/complications , Thinness/epidemiology , Cross-Sectional Studies , Developing Countries , Malnutrition/complications , Body Mass Index , Socioeconomic Factors , Obesity/complications , Obesity/epidemiology , Anemia/epidemiology , Anemia/complications , Nutritional Status , Prevalence , Health SurveysABSTRACT
OBJECTIVE: To investigate the magnitude and distribution of concurrent overweight/obesity and anaemia among adult women, adolescent girls and children living in low- and middle-income countries (LMIC). DESIGN: We selected the most recent Demographic and Health Surveys with anthropometric and Hb level measures. Prevalence estimates and 95 % CI of concurrent overweight/obesity and anaemia were calculated for every country, overall and stratified by household wealth quintile, education level, area of residence and sex (for children only). Regional and overall pooled prevalences were estimated using a random-effects model. We measured gaps, expressed in percentage points, to display inequalities in the distribution of the double burden of malnutrition (DBM). SETTING: Nationally representative surveys from fifty-two LMIC. PARTICIPANTS: Adult women (n 825 769) aged 20-49 years, adolescent girls (n 192 631) aged 15-19 years and children (n 391 963) aged 6-59 months. RESULTS: The pooled prevalence of concurrent overweight/obesity and anaemia was 12·4 % (95 % CI 11·1, 13·7) among adult women, 4·5 % (95 % CI 4·0, 5·0) among adolescent girls and 3·0 % (95 % CI 2·7, 3·3) among children. Overall, the DBM followed an inverse social gradient, with a higher prevalence among the richest quintile, most educated groups and in urban areas; however, important variations exist. The largest inequality gaps were observed among adult women in Yemen by household wealth (24·0 percentage-points) and in Niger by education level (19·6 percentage-points) and area of residence (11·9 percentage-points). Differences were predominantly significant among adult women, but less among girls and children. CONCLUSIONS: Context-specific, multifaceted, responses with an equity lens are needed to reduce all forms of malnutrition.
Subject(s)
Anemia , Malnutrition , Adolescent , Adult , Anemia/epidemiology , Child , Developing Countries , Female , Humans , Malnutrition/epidemiology , Obesity/epidemiology , Overweight/epidemiology , Prevalence , Socioeconomic FactorsABSTRACT
Globally, overweight/obesity is rising rapidly while anaemia persists. Nevertheless, evidence on their coexistence at the household level remains limited. Using data from the Demographic and Health Surveys, we quantified the magnitude, distribution and inequalities (i.e., estimates by wealth, education level and residence) in the intra-household double burden (DBM) of overweight/obesity and anaemia among mothers and their children living in 49 low- and middle-income countries (LMICs). The pooled prevalence of total intra-household DBM was 17.2% (95% confidence interval [CI]: 15.6, 18.8); 16.2% (95% CI: 14.6, 17.9) for mothers with overweight/obesity and children with anaemia; and 2.8% (95% CI: 2.5, 3.1) for mothers with anaemia and children with overweight/obesity. South Africa had the highest prevalence of total DBM at the household level, affecting almost one in three households. Households with mothers with overweight/obesity and children with anaemia followed an inverse social gradient, with higher estimates found in the richest quintile, highest maternal education level and in urban areas; although with some variation across regions. The opposite was observed for mothers with anaemia and children with overweight/obesity. The largest inequality gaps were found for mothers with overweight/obesity and children with anaemia in Togo by household wealth (29.3%-points; p < 0.001), in Ghana by maternal education level (28.0%-points; p = 0.001) and in Niger by area of residence (25.2%-points; p < 0.001). Although double-duty actions might help accelerate action towards reducing malnutrition in all its forms, a comprehensive assessment of the causes of anaemia is first warranted to design effective country-specific programmes.
Subject(s)
Anemia/complications , Obesity/complications , Adult , Anemia/epidemiology , Child , Developing Countries , Female , Humans , Malnutrition/epidemiology , Obesity/epidemiology , Overweight/complications , Overweight/epidemiology , Poverty , Prevalence , Socioeconomic FactorsABSTRACT
Child undernutrition is responsible for 45% of all under-five deaths in low- and middle-income countries (LMICs) and numerous morbidities. Although progress has been made, high levels of child undernutrition persist in Zambia. Existing studies have explored primary caretakers' (PCs) explanatory models of child undernutrition in LMICs, without comparison with those of health care providers (HCPs). This paper examines and compares the perceived causes of child undernutrition among PCs and HCPs in Zambia. We conducted a qualitative study, using semistructured one-to-one and group interviews, with 38 PCs and 10 HCPs to explore their perceptions of child undernutrition and its perceived causes in Lusaka district, Zambia. Interview data were analysed with thematic analysis. Our findings indicate that PCs and HCPs in Lusaka district have divergent explanatory models of child undernutrition and perceive parental agency differently. In divergently framing how they conceptualise undernutrition and who is able to prevent it, these models underpin different attributions of causality and different opportunities for intervention. PCs highlighted factors such as child food preferences, child health, and household finances. Contrarily, HCPs stressed factors such as 'improper feeding', only highlighting factors such as wider economic conditions when these impacted specifically on health care services. One factor, identified by both groups, was 'inadequate mothering'. To accelerate the reduction of child undernutrition, interventions must address divergences between PCs and HCPs' explanatory models. Additionally, attention needs to be paid to how wider socio-economic and cultural contexts not only impact childhood undernutrition but shape attributions of causality.
Subject(s)
Child Nutrition Disorders , Malnutrition , Child , Child Nutrition Disorders/epidemiology , Child Nutrition Disorders/prevention & control , Female , Humans , Malnutrition/epidemiology , Poverty , Qualitative Research , Zambia/epidemiologyABSTRACT
BACKGROUND: While childhood social risk factors appear to be associated with adult obesity, it is unclear whether exposure to multiple childhood social risk factors is associated with accelerated weight gain during adulthood. METHODS: We used the Medical Research Council National Survey of Health and Development, a British population-based birth cohort study of participants born in 1946, height and weight were measured by nurses at ages 36, 43, 53 and 60-64 and self-reported at 20 and 26 years. The 9 childhood socioeconomic risk factors and 8 binary childhood psychosocial risk factors were measured, with 13 prospectively measured at age 4 years (or at 7 or 11 years if missing) and 3 were recalled when participants were age 43. Multilevel modelling was used to examine the association between the number of childhood social risk factors and changes in body mass index (BMI) with age. RESULTS: Increasing exposure to a higher number of childhood socioeconomic risk factors was associated with higher mean BMI across adulthood for both sexes and with a faster increase in BMI from 20 to 64 years, among women but not men. Associations remained after adjustment for adult social class. There was no evidence of an association between exposure to childhood psychosocial risk factors and mean BMI in either sex at any age. CONCLUSIONS: Strategies for the prevention and management of weight gain across adulthood may need to tailor interventions in consideration of past exposure to multiple socioeconomic disadvantages experienced during childhood.
Subject(s)
Obesity , Adult , Aged , Body Mass Index , Body Weight , Child, Preschool , Cohort Studies , Female , Humans , Male , Middle Aged , Obesity/epidemiology , Risk Factors , Young AdultABSTRACT
BACKGROUND: Intimate partner violence (IPV) against women is a major global health issue, particularly in low- and middle-income countries (LMICs), that is associated with poor physical and mental health, but its association with breastfeeding practices is understudied. Both the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF) recommend that children initiate breastfeeding within the first hour of birth and be exclusively breastfed for the first 6 months of life. Breastfeeding within the first hour of birth is critical to newborn survival, and exclusive breastfeeding for 6 months is recognised to offer significant health benefits to mothers and their infants. We examined the association of maternal exposure to IPV with early initiation of breastfeeding (within 1 hour of birth) and exclusive breastfeeding in the first 6 months. METHODS AND FINDINGS: We assessed population-based cross-sectional Demographic and Health Surveys (DHS) from 51 LMICs. Data from the most recent DHS in each country (conducted between January 2000 and January 2019) with data available on IPV and breastfeeding practices were used. By WHO region, 52.9% (27/51) were from Africa, 11.8% (6/51) from the Americas, 7.8% (4/51) from the Eastern Mediterranean, 11.8% (6/51) from Europe, 11.8% (6/51) from South-East Asia, and 3.9% (2/51) from the Western Pacific. We estimated multilevel logistic regression models for any IPV and each type of IPV separately (physical violence, sexual violence, and emotional violence), accounting for demographic and socioeconomic factors. Depending on specification, the sample size varied between 95,320 and 102,318 mother-infant dyads. The mean age of mothers was 27.5 years, and the prevalence of any lifetime exposure to IPV among mothers was 33.3% (27.6% for physical violence, 8.4% for sexual violence, and 16.4% for emotional violence). Mothers exposed to any IPV were less likely to initiate breastfeeding early (adjusted odds ratio [AOR]: 0.88 [95% CI 0.85-0.97], p < 0.001) and breastfeed exclusively in the first 6 months (AOR: 0.87 [95% CI 0.82-0.92], p < 0.001). The associations were similar for each type of IPV and were overall consistent across infant's sex and WHO regions. After simultaneously adjusting for all 3 types of IPV, all 3 types of IPV were independently associated with decreased likelihood of early breastfeeding initiation, but only exposure to physical violence was independently associated with a decreased likelihood of exclusively breastfeeding in the first 6 months. The main limitations of this study included the use of cross-sectional datasets, the possibility of residual confounding of the observed associations by household wealth, and the possibility of underreporting of IPV experiences attenuating the magnitude of observed associations. CONCLUSIONS: Our study indicates that mothers exposed to any form of IPV (physical, sexual, or emotional violence) were less likely to initiate breastfeeding early and breastfeed exclusively in the first 6 months. These findings may inform the argument for antenatal screening for IPV in LMICs and the provision of services to not only improve mothers' safety and well-being, but also support them in adopting recommended breastfeeding practices.
Subject(s)
Breast Feeding , Intimate Partner Violence , Maternal Exposure , Mothers , Spouse Abuse , Adult , Cross-Sectional Studies , Developing Countries , Emotions , Female , Humans , Infant, Newborn , Physical Abuse , Poverty , Pregnancy , Prevalence , Prospective Studies , Regression Analysis , Sex Offenses , World Health OrganizationSubject(s)
Diabetes Mellitus, Type 2 , Hyperglycemia , Blood Glucose , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/epidemiology , Glucocorticoids/adverse effects , Humans , Hyperglycemia/chemically induced , Hyperglycemia/prevention & control , Hypoglycemic Agents/adverse effectsABSTRACT
BACKGROUND: Studies assessing associations of childhood psychosocial adversity (e.g. sexual abuse, physical neglect, parental death), as opposed to socioeconomic adversity, with cardiovascular disease (CVD) risk factors in adulthood are scarce. We aimed to assess associations of various forms of psychosocial adversity and cumulative adversity in childhood, with multiple CVD risk factors in mid-life. METHODS: Participants were from the MRC National Survey of Health and Development. Childhood psychosocial risk factors were reported prospectively by parents from 1950-1957, and retrospectively by participants at mean age 43 years in 1989. CVD risk factors were assessed at mean age 60-64 years in 2006-2011. Associations of a summary score of total psychosocial adversity and CVD risk in adulthood were assessed. RESULTS: There was no consistent evidence that cumulative psychosocial adversity, nor any specific form of psychosocial adversity in childhood, was associated with CVD risk factors in late adulthood. There was some evidence that parental death in the first 15 years was associated with higher SBP (Beta: 0.23, 95% confidence interval: 0.06 to 0.40, P=0.01) and DBP (Beta: 0.15, 95% confidence interval: -0.01 to 0.32, P=0.07). CONCLUSIONS: We found no evidence that exposure to greater psychosocial adversity, or specific forms of psychosocial adversity during childhood is associated with adult CVD risk factors. Further large population studies are needed to clarify whether parental death is associated with higher systolic and diastolic blood pressure.
Subject(s)
Cardiovascular Diseases/epidemiology , Life Change Events , Female , Health Surveys , Humans , Male , Middle Aged , Prospective Studies , Risk Factors , United Kingdom/epidemiologyABSTRACT
BACKGROUND: Social inequalities in adult smoking and excessive alcohol intake may be associated with exposure to multiple childhood social risk factors across different domains of risk within the household. METHODS: We used data from a cross-sectional cohort study of adults (40-75 years) in 1993-97 living in England (N = 19466) to examine the association between clusters of childhood social risks across different domains with adult smoking and excessive alcohol use. Participants reported exposure to six childhood social risk factors, current smoking behaviour and alcohol intake. Factor analysis was used to identify domains of social risk. We created a childhood cumulative domain social risk score (range 0-2) from summing the total number of domains. RESULTS: Factor analysis identified two domains of childhood social risk within the household: maladaptive family functioning (parental unemployment, substance misuse, physical abuse) and parental separation experiences : maternal separation, divorce, being sent away from home). Compared to those children with risk exposure in no single domain, children with risk exposure in both domains (i.e. maladaptive family functioning, parental separation experiences) had a higher prevalence of adult smoking [men: Prevalence ratio (PR) = 1.74, 95% confidence intervals (CI): 1.35-2.26; women: PR = 1.71 95% CI: 1.34-2.18]. There was a trend association between the number of childhood social risk domains and adult smoking (both sexes: P < 0.001) and excessive alcohol use (men: P <0.008). CONCLUSIONS: Further work is needed to understand if addressing cumulative risk exposure to maladaptive family functioning and parental separation experiences can reduce social inequalities in adult smoking and excessive alcohol intake.
Subject(s)
Alcoholism/epidemiology , Child Abuse/statistics & numerical data , Family Relations/psychology , Smoking/epidemiology , Social Environment , Adult , Aged , Alcoholism/psychology , Child , Child Abuse/psychology , Cohort Studies , Cross-Sectional Studies , England/epidemiology , Factor Analysis, Statistical , Female , Humans , Male , Middle Aged , Prospective Studies , Risk Factors , Smoking/psychologyABSTRACT
BACKGROUND: Adults in the United States (U.S) can be simultaneously exposed to more than one social risk factor over their lifetime. However, cancer epidemiology tends to focus on single social risk factors at a time. We examined the prospective association between cumulative social risk exposure and deaths from cancer in a nationally representative sample of U.S. adults. METHODS: The study included 8745 adults (aged≥40 years) in the NHANES Survey III Mortality Study over a median follow-up of 13.5 years (1988-1994 enrollment dates and 1988 through 2006 for mortality data). Social risk factors (low family income, low education level, minority race, and single-living status) were summed to create a cumulative social risk score (0 to ≥3). We used Cox proportional hazard models to estimate age- and sex-adjusted hazard ratios (HRs) and 95% confidence intervals (95% CI) for the association between cumulative social risk with deaths from all-cancers combined, tobacco-related cancers, and screening-detectable cancers. RESULTS: Deaths from all-cancers combined (P for trend=0.001), tobacco-related cancers (P for trend=<0.001), and lung cancer (P for trend=0.01) increased with an increasing number of social risk factors. As compared with adults with no social risk factors, those exposed to ≥3 social risk factors were at increased risk of deaths from all-cancers combined (HR=1.8, 95% CI=1.3-2.4), tobacco-related cancers (HR=2.6, 95% CI: 1.6-4.0), and lung cancer (HR=2.3, 95% CI=1.3-4.1). CONCLUSIONS: U.S. adults confronted by higher amounts of cumulative social risk appear to have increased mortality from all-cancers combined, tobacco-related cancers, and lung cancer. An enhanced understanding of the cumulative effect of social risk factors may be important for targeting interventions to address social disparities in cancer mortality.
Subject(s)
Neoplasms/mortality , Adult , Aged , Educational Status , Female , Humans , Income , Lung Neoplasms/etiology , Lung Neoplasms/mortality , Male , Marital Status , Middle Aged , Neoplasms/etiology , Nutrition Surveys , Proportional Hazards Models , Prospective Studies , Racial Groups , Risk Factors , Single Person , Socioeconomic Factors , United States/epidemiologyABSTRACT
OBJECTIVES: We evaluated the economic benefits of Temporary Assistance to Needy Families (TANF) relative to the previous program, Aid to Families with Dependent Children (AFDC). METHODS: We used pooled mortality hazard ratios from 2 randomized controlled trials-Connecticut Jobs First and the Florida Transition Program, which had follow-up from the early and mid-1990s through December 2011-and previous estimates of health and economic benefits of TANF and AFDC. We entered them into a Markov model to evaluate TANF's economic benefits relative to AFDC and weigh them against the potential health threats of TANF. RESULTS: Over the working life of the average cash assistance recipient, AFDC would cost approximately $28000 more than TANF from the societal perspective. However, it would also bring 0.44 additional years of life. The incremental cost effectiveness of AFDC would be approximately $64000 per life-year saved relative to TANF. CONCLUSIONS: AFDC may provide more value as a health investment than TANF. Additional attention given to the neediest US families denied cash assistance could improve the value of TANF.
Subject(s)
Social Welfare , Aid to Families with Dependent Children/economics , Aid to Families with Dependent Children/statistics & numerical data , Connecticut/epidemiology , Cost-Benefit Analysis , Florida/epidemiology , Health Status , Humans , Markov Chains , Mortality , Social Welfare/economics , Social Welfare/legislation & jurisprudence , Social Welfare/statistics & numerical data , United States/epidemiologyABSTRACT
Socioeconomic and urban-rural inequalities in the population-level double burden of child malnutrition threatens global nutrition targets 2025, especially in East and Southern Africa. We aimed to quantify these inequalities from nationally representative household surveys in the East and Southern African region. 13 Demographic and Health Surveys between 2006 and 2018 including 72,231 children under five years old were studied. Prevalence of stunting, wasting and overweight (including obesity) were disaggregated by wealth quintiles, maternal education categories and urban-rural residence for visual inspection of inequalities. The slope index of inequality (SII) and the relative index of inequality (RII) were estimated for each country. Regional estimates of child malnutrition prevalence and socioeconomic and urban-rural inequalities were generated from pooling country-specific estimates using random-effects meta-analyses. Regional stunting and wasting prevalence were higher among children living in the poorest households, with mothers with the lowest educational level and in rural areas. In contrast, regional overweight (including obesity) prevalence was higher among children living in the richest households, with mothers with the highest educational level and urban areas. This study indicates pro-poor inequalities are present in child undernutrition and pro-rich inequalities are present in child overweight including obesity. These findings re-emphasise the need for an integrated approach to tackling the population-level double burden of child malnutrition in the region. Policy makers must target specific populations that are vulnerable to child malnutrition, to avoid further widening of socioeconomic and urban-rural inequalities.
ABSTRACT
BACKGROUND: The GARFIELD-AF tool is a novel risk tool that simultaneously assesses the risk of all-cause mortality, stroke or systemic embolism, and major bleeding in patients with atrial fibrillation (AF). AIM: To validate the GARFIELD-AF tool using UK primary care electronic records. DESIGN AND SETTING: A retrospective cohort study using the Clinical Practice Research Datalink (CPRD) linked with Hospital Episode Statistics data and Office for National Statistics mortality data. METHOD: Discrimination was evaluated using the area under the curve (AUC) and calibration was evaluated using calibration-in-the-large regression and calibration plots. RESULTS: A total of 486 818 patients aged ≥18 years with incident diagnosis of non-valvular AF between 2 January 1998 and 31 July 2020 were included; 50.6% (n = 246 425/486 818) received anticoagulation at diagnosis The GARFIELD-âAF models outperformed the CHA2DS2VASc and HAS-BLED scores in discrimination ability of death, stroke, and major bleeding at all the time points. The AUC for events at 1 year for the 2017 models were: death 0.747 (95% confidence interval [CI] = 0.744 to 0.751) versus 0.635 (95% CI = 0.631 to 0.639) for CHA2DS2VASc; stroke 0.666 (95% CI = 0.663 to 0.669) versus 0.625 (95% CI = 0.622 to 0.628) for CHA2DS2VASc; and major bleeding 0.602 (95% CI = 0.598 to 0.606) versus 0.558 (95% CI = 0.554 to 0.562) for HAS-âBLED. Calibration between predicted and Kaplan-âMeier observed events was inadequate with the GARFIELD-AF models. CONCLUSION: The GARFIELD-AF models were superior to the CHA2DS2VASc score for discriminating stroke and death and superior to the HAS-BLED score for discriminating major bleeding. The models consistently underpredicted the level of risk, suggesting that a recalibration is needed to optimise its use in the UK population.
Subject(s)
Atrial Fibrillation , Stroke , Humans , Adolescent , Adult , Atrial Fibrillation/complications , Atrial Fibrillation/diagnosis , Retrospective Studies , Anticoagulants/therapeutic use , Risk Factors , Risk Assessment , Stroke/epidemiology , Hemorrhage , United Kingdom/epidemiology , Primary Health Care , Electronics , RegistriesABSTRACT
BACKGROUND: Blood pressure, grip strength and lung function are frequently assessed in longitudinal population studies, but the measurement devices used differ between studies and within studies over time. We aimed to compare measurements ascertained from different commonly used devices. METHODS: We used a randomised cross-over study. Participants were 118 men and women aged 45-74 years whose blood pressure, grip strength and lung function were assessed using two sphygmomanometers (Omron 705-CP and Omron HEM-907), four handheld dynamometers (Jamar Hydraulic, Jamar Plus+ Digital, Nottingham Electronic and Smedley) and two spirometers (Micro Medical Plus turbine and ndd Easy on-PC ultrasonic flow-sensor) with multiple measurements taken on each device. Mean differences between pairs of devices were estimated along with limits of agreement from Bland-Altman plots. Sensitivity analyses were carried out using alternative exclusion criteria and summary measures, and using multilevel models to estimate mean differences. RESULTS: The mean difference between sphygmomanometers was 3.9mmHg for systolic blood pressure (95% Confidence Interval (CI):2.5,5.2) and 1.4mmHg for diastolic blood pressure (95% CI:0.3,2.4), with the Omron HEM-907 measuring higher. For maximum grip strength, the mean difference when either one of the electronic dynamometers was compared with either the hydraulic or spring-gauge device was 4-5kg, with the electronic devices measuring higher. The differences were small when comparing the two electronic devices (difference = 0.3kg, 95% CI:-0.9,1.4), and when comparing the hydraulic and spring-gauge devices (difference = 0.2kg, 95% CI:-0.8,1.3). In all cases limits of agreement were wide. The mean difference in FEV1 between spirometers was close to zero (95% CI:-0.03,0.03), limits of agreement were reasonably narrow, but a difference of 0.47l was observed for FVC (95% CI:0.53,0.42), with the ndd Easy on-PC measuring higher. CONCLUSION: Our study highlights potentially important differences in measurement of key functions when different devices are used. These differences need to be considered when interpreting results from modelling intra-individual changes in function and when carrying out cross-study comparisons, and sensitivity analyses using correction factors may be helpful.
Subject(s)
Blood Pressure Determination , Hand Strength , Male , Humans , Female , Blood Pressure , Cross-Over Studies , Hand Strength/physiology , Lung , Reproducibility of ResultsABSTRACT
OBJECTIVE: To document the prevalence of overweight, obesity and thinness in 9-10 year old children in Mauritius. METHODS: 412 boys and 429 girls aged 9-10 years from 23 primary schools were selected using stratified cluster random sampling. All data was cross-sectional and collected via anthropometry and self-administered questionnaire. Outcome measures were BMI (kg/m2), prevalence of overweight, obesity (International Obesity Task Force definitions) and thinness (low BMI for age). Linear and logistic regression analyses, accounting for clustering at the school level, were used to assess associations between gender, ethnicity, school location, and school's academic performance (average) to each outcome measure. RESULTS: The distribution of BMI was marginally skewed with a more pronounced positive tail in the girls. Median BMI was 15.6 kg/m2 in boys and 15.4 kg/m2 in girls, respectively. In boys, prevalence of overweight was 15.8% (95% CI: 12.6, 19.6), prevalence of obesity 4.9% (95% CI: 3.2, 7.4) and prevalence of thinness 12.4% (95% CI: 9.5, 15.9). Among girls, 18.9% (95% CI: 15.5, 22.9) were overweight, 5.1% (95% CI: 3.4, 7.7) were obese and 13.1% (95% CI: 10.2, 16.6) were thin. Urban children had a slightly higher mean BMI than rural children (0.5 kg/m2, 95% CI: 0.01, 1.00) and were nearly twice as likely to be obese (6.7% vs. 4.0%; adjusted odds ratio 1.6; 95% CI: 0.9, 3.5). Creole children were less likely to be classified as thin compared to Indian children (adjusted odds ratio 0.3, 95% CI: 0.2, 0.6). CONCLUSION: Mauritius is currently in the midst of nutritional transition with both a high prevalence of overweight and thinness in children aged 9-10 years. The coexistence of children representing opposite sides of the energy balance equation presents a unique challenge for policy and interventions. Further exploration is needed to understand the specific causes of the double burden of malnutrition and to make appropriate policy recommendations.
Subject(s)
Obesity/epidemiology , Overweight/epidemiology , Thinness/epidemiology , Body Mass Index , Child , Cross-Sectional Studies , Female , Humans , Male , Mauritius/epidemiology , Regression Analysis , Surveys and QuestionnairesABSTRACT
BACKGROUND: Household air pollution from the incomplete combustion of solid cookfuels in low- and middle-income countries (LMICs) has been largely ignored as a potentially important correlate of stunting. Our objective was to examine the association between solid cookfuel use and stunting in children aged <5 y. METHODS: We used data from 59 LMICs' population-based cross-sectional demographic and health surveys; 557 098 children aged <5 y were included in our analytical sample. Multilevel logistic regression was used to examine the association between exposure to solid cookfuel use and childhood stunting, adjusting for child sex, age, maternal education and number of children living in the household. We explored the association across key subgroups. RESULTS: Solid cookfuel use was associated with child stunting (adjusted OR 1.58, 95% CI 1.55 to 1.61). Children living in households using solid cookfuels were more likely to be stunted if they lived in rural areas, the poorest households, had a mother who smoked tobacco or were from the Americas. CONCLUSIONS: Focused strategies to reduce solid cookfuel exposure might contribute to reductions in childhood stunting in LMICs. Trial evidence to assess the effect of reducing solid cookfuel exposure on childhood stunting is urgently needed.
Subject(s)
Air Pollution , Developing Countries , Child , Humans , Cross-Sectional Studies , Growth Disorders/epidemiology , Growth Disorders/etiology , PovertyABSTRACT
An increasing number of people are now living with cardiovascular disease (CVD), with concomitant CVD-related hospitalizations, operations, and prescriptions. To ultimately deliver optimal cardiovascular care, access to population-based biobanks with data on multiomics, phenotypes, and lifestyle risk factors are crucial. UK Biobank is a cohort study that incorporated data between 2006 and 2010 from over half a million individuals (40 to 69 years of age) at recruitment from across the United Kingdom. As one of the most accessible, largest, and in-depth cohort studies in the world, UK Biobank continues to enhance the resource with the addition of data from various omics platforms (eg, genomics, metabolomics, proteomics), multimodal imaging, self-reported risk factors and health outcomes, and linkage to electronic health records. The vision of UK Biobank is to allow as many researchers as possible to apply their expertise and imagination to undertake research to prevent, diagnose, and treat a wide range of chronic conditions, including CVD.
Subject(s)
Biological Specimen Banks/organization & administration , Cardiovascular Diseases , Electronic Health Records , Genomics , Proteomics , Public Health Informatics , Adult , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/genetics , Diagnostic Imaging , Female , Heart Disease Risk Factors , Humans , Male , Middle Aged , United KingdomABSTRACT
BACKGROUND: National and global recommendations for BMI cutoffs to trigger action to prevent obesity-related complications like type 2 diabetes among non-White populations are questionable. We aimed to prospectively identify ethnicity-specific BMI cutoffs for obesity based on the risk of type 2 diabetes that are risk-equivalent to the BMI cutoff for obesity among White populations (≥30 kg/m2). METHODS: In this population-based cohort study, we used electronic health records across primary care (Clinical Practice Research Datalink) linked to secondary care records (Hospital Episodes Statistics) from a network of general practitioner practices in England. Eligible participants were aged 18 years or older, without any past or current diagnosis of type 2 diabetes, had a BMI of 15·0-50·0 kg/m2 and complete ethnicity data, were registered with a general practitioner practice in England at any point between Sept 1, 1990, and Dec 1, 2018, and had at least 1 year of follow-up data. Patients with type 2 diabetes were identified by use of a CALIBER phenotyping algorithm. Self-reported ethnicity was collapsed into five main categories. Age-adjusted and sex-adjusted negative binomial regression models, with fractional polynomials for BMI, were fitted with incident type 2 diabetes and ethnicity data. FINDINGS: 1 472 819 people were included in our study, of whom 1 333 816 (90·6%) were White, 75 956 (5·2%) were south Asian, 49 349 (3·4%) were Black, 10 934 (0·7%) were Chinese, and 2764 (0·2%) were Arab. After a median follow-up of 6·5 years (IQR 3·2-11·2), 97 823 (6·6%) of 1 472 819 individuals were diagnosed with type 2 diabetes. For the equivalent age-adjusted and sex-adjusted incidence of type 2 diabetes at a BMI of 30·0 kg/m2 in White populations, the BMI cutoffs were 23·9 kg/m2 (95% CI 23·6-24·0) in south Asian populations, 28·1 kg/m2 (28·0-28·4) in Black populations, 26·9 kg/m2 (26·7-27·2) in Chinese populations, and 26·6 kg/m2 (26·5-27·0) in Arab populations. INTERPRETATION: Revisions of ethnicity-specific BMI cutoffs are needed to ensure that minority ethnic populations are provided with appropriate clinical surveillance to optimise the prevention, early diagnosis, and timely management of type 2 diabetes. FUNDING: National Institute for Health Research.
Subject(s)
Body Mass Index , Diabetes Mellitus, Type 2/ethnology , Ethnicity , Obesity/ethnology , Population Surveillance , Adult , Cohort Studies , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/physiopathology , Electronic Health Records , England/ethnology , Female , Follow-Up Studies , Humans , Male , Middle Aged , Obesity/diagnosis , Obesity/physiopathology , Population Surveillance/methods , Risk FactorsABSTRACT
INTRODUCTION: Although there is strong evidence of an association between general adiposity and incidence of heart failure, previous systematic reviews and meta-analyses have not reliably assessed the association of heart failure risk with other aspects of body composition (such as body fat distribution or lean mass), or between body composition and risk of heart failure subtypes. We aim to conduct a systematic review and meta-analysis of prospective studies to address these uncertainties, and inform efforts to prevent and treat heart failure. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols statement was used as a template for this protocol. A systematic search of Medline, Embase and Global Health from database inception to present will be conducted to identify prospective studies reporting on the associations between major measures of body composition (body mass index, waist circumference, waist-hip ratio, total body fat, visceral adiposity tissue and lean mass) and risk of heart failure. Article screening and selection will be performed by two reviewers independently, and disagreements will be adjudicated by consensus or by a third reviewer. Data from eligible articles will be extracted, and article quality will be assessed using the Newcastle-Ottawa Scale. Relative risks (and 95% CIs) will be pooled in a fixed effect meta-analysis, if there is no prohibitive heterogeneity of studies as assessed using the Cochrane Q statistic and I2 statistic. Subgroup analyses will be by age, sex, ethnicity and heart failure subtypes. Publication bias in the meta-analysis will be assessed using Egger's test and funnel plots. ETHICS AND DISSEMINATION: This work is secondary analyses on published data and ethical approval is not required. We plan to publish results in an open-access peer-reviewed journal, present it at international and national conferences, and share the findings on social media. PROSPERO REGISTRATION NUMBER: CRD42020224584.